To realize the dreams and impact of AI requires autonomous systems that learn to make good decisions. Reinforcement learning is one powerful paradigm for doing so, and it is r
Deep learning has achieved remarkable success in supervised and reinforcement learning problems including image classification, speech recognition, and game playing. These mod
The course has been designed to be offered as an elective to final year under graduate students mainly from Electrical Sciences background. The course syllabus assumes basic k
Basic ideas and techniques underlying the design of intelligent computer systems. Topics include heuristic search, problem solving, game playing, knowledge representation, log
Contents:
Introduction to Artificial Intelligence - problem Solving by Search - Searching with Costs - Informed State Space Search-Heuristic Search: A* and Beyond - Problem R
Contents:
Introduction to Artificial Intelligence - Intelligent Agents - State Space Search - Uninformed Search - Informed Search - Two Players Games - Constraint Satisfactio
Contents:
introduction,The Motivation Applications of Machine Learning - An Application of Supervised Learning - Autonomous Deriving - The Concept of Under fitting and Over f
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